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Journal Article 저전력 온디바이스 비전 SW 프레임워크 기술 동향
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Authors
이문수, 배수영, 김정시, 석종수
Issue Date
2021-04
Citation
전자통신동향분석, v.36, no.2, pp.56-64
ISSN
1225-6455
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2021.J.360206
Abstract
Many computer vision algorithms are computationally expensive and require a lot of computing resources. Recently, owing to machine learning technology and high-performance embedded systems, vision processing applications, such as object detection, face recognition, and visual inspection, are widely used. However, on-devices need to use their resources to handle powerful vision works with low power consumption in heterogeneous environments. Consequently, global manufacturers are trying to lock many developers into their ecosystem, providing integrated low-power chips and dedicated vision libraries. Khronos Group—an international standard organization—has released the OpenVX standard for high-performance/low-power vision processing in heterogeneous on-device systems. This paper describes vision libraries for the embedded systems and presents the OpenVX standard along with related trends for on-device vision system.
KSP Keywords
Computer Vision(CV), Computing resources, Embedded system, Heterogeneous environment, High performance, International standard, Object detection, Vision Algorithms, Vision Processing, Vision system, computationally expensive
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: